Combining Coding and Research Agents

Background: Automated machine learning (AutoML) systems that generate code rely on prompts to guide the LLM for task execution.

Question / Future Work: Investigating how to effectively combine coding agents (which generate code) and deep research agents (which provide domain knowledge) into a unified framework to generate expert-level algorithms warrants further study, as current approaches rely on injecting knowledge primarily through static base prompts.